{"id":"W6887256425","doi":"10.15468/dl.v97c3n","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00101551,0.001988631,0.001673816,0.005015669,0.001030054,0.002623403,0.002856032,0.00212362,0.1576553],"category_scores_gemma":[0.006005656,0.0009299293,0.001164395,0.009861088,0.0004606878,0.002362486,0.002600516,0.002048299,0.2149383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001579853,"about_ca_system_score_gemma":0.002383332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02148884,"about_ca_topic_score_gemma":0.03583455,"domain_scores_codex":[0.9989212,0.0001494819,0.0001369131,0.000383783,0.0002322993,0.0001763408],"domain_scores_gemma":[0.9974962,0.0007246295,0.0002413985,0.0006463398,0.00059767,0.0002938259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003063905,0.00001182591,0.0003828631,0.0005642949,0.00001526885,0.00001577563,0.00002480833,0.0001241264,0.0001186292,0.0003892734,0.9970453,0.001277171],"study_design_scores_gemma":[0.00008017076,0.000008190123,0.001879563,0.0001936191,0.00001471078,0.00003721122,0.0000746555,0.0001398901,0.0001806214,0.0008030832,0.99657,0.00001840977],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000390537,0.00002578499,0.00004150371,0.00003402544,0.00001089004,0.000005018323,0.9989294,0.000330013,0.0005842118],"genre_scores_gemma":[0.0001587906,0.0000327552,0.0001904185,0.00004644814,0.00000339275,0.00004191276,0.9989389,0.0001366994,0.0004507568],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8423447,"threshold_uncertainty_score":0.5274096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}